Whitehill, J., Littlewort, G., Fasel, I., Bartlett, M., & Movellan, J.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2009)
The "solid paper" most directly related to this file and the underlying methodology is: "Practical Smile Detection" jojones.smiles.zip
For further reading on how this specific algorithm is evaluated in group settings, you can also look at Performance Analysis of Viola Jones Algorithm for Smile Detection in Group Photos.
This seminal paper presents a system for automatic smile detection using Haar-like features and the Viola-Jones framework. It is widely cited for establishing benchmarks in the field of real-time facial expression analysis. Key Technical Context Whitehill, J
The filename is specifically associated with the influential research on automated smile detection using the Viola-Jones algorithm . This dataset and the related methodology are foundational in computer vision for detecting facial expressions.
The term "jojones" in your file name typically refers to the Viola-Jones object detection framework. This algorithm uses "Haar-like features" to rapidly scan images for patterns (like the curves of a mouth or the shadows of eyes). It is widely cited for establishing benchmarks in
The methods described in this paper paved the way for modern features we use today, such as "smile shutter" on digital cameras and engagement tracking in marketing research.